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Leiden University Medical Centre (LUMC), a leading academic hospital in the Netherlands, faced the common challenges of increasing radiology workloads and the need for more efficient resource allocation. Like many healthcare institutions, LUMC realised that, despite being a tier 3 academic hospital, a significant percentage of specific radiological examinations showed no pathology findings, which represented a significant opportunity to optimise workflow and use its resources more effectively. For chest X-rays, one of the most commonly performed radiological examination, retrospective validation showed that between 40% – 50% of the X-rays contained no findings and thus could be characterized as normal X-rays.

In a recent interview, Peter Corscadden, CEO of Oxipit, discusses the transformative role of autonomous AI in radiology. Oxipit’s AI-driven tool, ChestLink, autonomously handles up to 40% of chest X-ray workflows, freeing radiologists to focus on complex cases. Corscadden highlights the technology’s potential to reduce the strain on radiologists, improve diagnostic accuracy, and tackle healthcare inequalities—particularly in underserved regions like Rwanda. Looking ahead, Oxipit aims to expand its innovative AI solutions to further shape the future of healthcare.

The landscape of radiology is undergoing a profound transformation. As someone who has been deeply involved in both clinical practice and the advancement of artificial intelligence in medical imaging, I've observed firsthand how Computer-Aided Detection (CAD) systems have evolved from simple assistance tools to increasingly sophisticated solutions. However, we're now standing at the threshold of an even more significant change: the emergence of autonomous AI systems in radiology.

CAD (Computed Aided Detection) AI, tools that support detection, triage and classification of medical image diagnoses, have been the focus of $5.6B investment in a bid to combat the myriad of pressures facing the medical imaging industry. Medical imaging service lines are struggling in the face of increasing procedure volumes, intensifying workforce shortages coupled with a fundamental need to do more with less resource. Evident by Royal College of Radiologists (RCR) 2023 clinical radiology workforce census report, that “the radiology workforce grew by 6.3% in 2023. Yet the rate of CT and MRI scans surged by 11% in the same timeframe.”

In a recent interview, Peter Corscadden, CEO of Oxipit, discusses the transformative role of autonomous AI in radiology. Oxipit’s AI-driven tool, ChestLink, autonomously handles up to 40% of chest X-ray workflows, freeing radiologists to focus on complex cases. Corscadden highlights the technology’s potential to reduce the strain on radiologists, improve diagnostic accuracy, and tackle healthcare inequalities—particularly in underserved regions like Rwanda. Looking ahead, Oxipit aims to expand its innovative AI solutions to further shape the future of healthcare.

The key highlights from the Oxipit team at this year's UKIO conference, highlighting the pivotal discussions on autonomous reporting in radiology.

Oxipit further expands commercial availability of its solutions via partnership with deepc. This collaboration will integrate Oxipit’s advanced AI solutions - ChestLink, ChestEye, and ChestEye Quality - into the deepcOS platform, delivering effortless access to Oxipit solutions directly within existing Healthcare IT systems, with just one simple integration.

Oxipit, a leading AI radiology solutions provider, has appointed senior health tech executive, Peter Corscadden, as Chief Executive Officer to strengthen its global footprint.

A research paper comparing the performance of commercially available AI algorithms was published in the Radiology journal. While multiple commercial artificial intelligence (AI) products for assessing radiographs exist in the market, comparable performance data for these algorithms is limited.

Blackford, the pioneering strategic radiology AI platform and solutions provider, today announced a partnership with AI medical imaging company Oxipit. The agreement will bring innovative Oxipit’s chest x-ray products to Blackford’s enterprise AI platform.